The Statistics group develops and compares data-analytical methods for analyzing and sampling complex structured correlated data sets.
Success stories
Framingham Heart Study A long-term longitudinal data set on more than 5000 participants (started at 1948) has been brought to the TU/e to collaborate with Boston University on new statistical methods.
Read moreMeet some of our Researchers
Recent Publications
Our most recent peer reviewed publications
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A survey on LED Prognostics and Health Management and uncertainty reduction
Microelectronics Reliability (2024) -
A Dirichlet process mixture regression model for the analysis of competing risk events
Insurance: Mathematics and Economics (2024) -
Bias of the additive hazard model in the presence of causal effect heterogeneity
Lifetime Data Analysis (2024) -
The built-in selection bias of hazard ratios formalized using structural causal models
Lifetime Data Analysis (2024) -
A customised down-sampling machine learning approach for sepsis prediction
International Journal of Medical Informatics (2024)
Contact
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Postal address
Department of Methematics and Computer ScienceP.O. Box 5135600 MB EindhovenNetherlands -
Postal address
Department of Methematics and Computer ScienceP.O. Box 5135600 MB EindhovenNetherlands